Leidos' R2View: Revolutionizing Cleared Recruitment with Proven AI

For program managers and human resource officers responsible for staffing cleared analysts and personnel supporting demanding national security missions, challenges extend far beyond hiring goals and paperwork. Specifically, for those who work in secure government sites, including sensitive compartmented information facilities (SCIFs), additional pressures and limitations test their ability to keep a team fully staffed. On paper, a team can appear as a strong, skilled group of cleared analysts trained to examine, process, and refine sensitive information directly supporting national security missions. But in practice, under real-world pressures, the picture is often more complicated and fragile.

Recruiting replacements for cleared employees is neither quick nor easy. The process of hiring, vetting, and clearing new analysts can take up to a year. During that time, workload doesn’t shrink — it shifts to remaining analysts absorbing extra work, often putting in overtime, which increases stress and the likelihood of future attrition. Costs quietly spiral since recruiting expenses rise with every vacancy. This is the hidden cost of turnover in mission-critical national security environments. On a team of skilled intelligence professionals, you’re not just losing one person; attrition can have a cascading impact on morale, efficiency, budgets, and ultimately, mission outcomes.

Challenges in staffing intelligence, operations, and security personnel 

These challenges are not unique to just one program – they reflect larger staffing challenges faced across the Intelligence Community (IC) and Department of War (DOW). 

But what if program managers and human resource officers had an early warning tool for attrition? A unique capability to predict when key analysts are most likely to leave – whether due to retirement eligibility, burnout, or competitive job offers. With Leidos’ Recruitment and Retention View (R2View), they have that tool at their fingertips.

R2View is a staffing analytics tool powered by predictive AI and machine learning. R2View tracks hiring and departures across companies, job types, and locations, giving leaders the foresight needed to plan ahead. Built on Leidos’ AI, the tool goes beyond basic strategies to directly support mission success. With R2View, managers can source candidates months in advance, start the clearance process early, and plan for handovers so knowledge loss is minimized. When the inevitable departure happens, the replacement is ready to step in with minimal disruption.

One customer described the benefit clearly: "It is a challenge to find qualified and cleared personnel who want to work in the SCIF environment every day. Having a predictive tool to indicate that there is anticipated attrition in the near future allows us the head start needed to begin the staffing process early with a higher chance of staffing success by the time the attrition occurs." 

R2View looks at past HR data to predict future staffing needs, so teams can stay ahead of vacancies, avoid revenue loss, and be ready for challenges before they happen. With accurate forecasts, R2View helps organizations keep their best people, hire more efficiently, and plan with confidence. And for mission-critical areas like intelligence, operations, and security, it’s a vital tool for maintaining the strong workforce needed to protect national security. R2View is designed to be agile, flexible, and secure, making it a great fit for government contracts with strict data governance rules. R2View can run in the cloud or on-site and comes at no extra cost to the government as it is a value-added tool. Built in Python, it’s easy to connect with standard databases, and any user can access it through a regular web browser. The interface is simple, user-friendly, and customizable – creating a navigable and adaptable platform that makes hiring and staffing easier. Whether creating staffing modeling reports like survival curves, treemaps, or position predictors, the interactive tools help make it simple to visualize data in a way that works best for the mission. 

Scalable staffing with R2View

R2View comes with several powerful features designed to make workforce planning easier and more effective. Its smart analytics can predict when employees are likely to leave, highlight unusual patterns, and uncover the key factors behind staffing changes, with forecasts available for three, six, or even 12 months into the future. Behind the scenes, automated data mining continuously scans HR information to detect sudden or unexpected shifts, ensuring nothing important goes unnoticed. To support decision-making, R2View also provides automated reporting, generating clear audits and summaries that replace guesswork with real insights. 

With continuity restored, program managers can keep their teams focused on meeting urgent intelligence demands and responding rapidly to the fast-moving challenges of national security.

Transformative impacts of R2View on workforce management and mission outcomes

R2View isn't just another staffing tool—it's changing the way organizations build, manage, and maintain strong teams. For one customer, R2View helped fill 490 positions efficiently, consistently beating a 14-day hiring deadline, which reduced job vacancies dramatically. The customer successfully staffed 56 highly specialized full-time roles, with Leidos maintaining program staffing levels at or around 99 percent, averaging about 500 positions and backfill vacancies in less than 13 days on average across the last three years. 

These results show the tool’s impact on mission staffing risks and readiness. With R2View predictions, recruiters have a head start knowing which positions to hire for before they are vacant. Combining R2View predictions with Leidos’ 200 plus recruiters, the company can build a bench of qualified candidates with a clear career growth path and perks like relocations support for hard to fill jobs. Customers praised the program, with one saying, “Leidos brings up risks before we’re even aware of (them).”

Another customer saw big improvements in service level delivery metrics for their mission. The average time to replace employees dropped sharply, with a 42.5% reduction in hours lost from turnover and a 23.6% boost in meeting service-level goals. These results show how R2View, powered by AI, consistently helps organizations find the right employees faster and keep their teams strong.

Beyond metrics and numbers, customers, such as DOW, are directing the wider application of outcome-based solutions and contract arrangements. R2View is delivering real-world operational improvements today by minimizing disruption in staffing that impacts vital threats assessment or intelligence reporting for decision makers. Rapid backfill for key positions ensures teams are fully staffed and ready to respond to emergent crises around the world with full capacity. And when vacancies are filled promptly, remaining team members are not loaded down with additional work for extended periods, helping keep the team morale high and focus on mission optimized, while preventing worsening attrition. 

At Leidos, we understand the unique challenges our national security customers face, especially in mission areas where every role is critical and turnover can have real consequences. That’s why we combine Leidos’ deep understanding of customer missions with the power of AI to keep teams resilient and future ready.

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